
It’s undeniable that AI is playing an increasingly significant role in human daily life. Everywhere you look, you see AI at work, from car factories employing AI robots for full-scale operations to applications where AI acts as an assistant for tasks such as writing, note-taking, drawing, voice creation, and video production. The widespread use of Generative AI, which learns patterns and structures from input data and creates new content, is also a major factor. The continuous launch of AI assistants by various programs is driving changes and impacting the workforce.
Companies with contact centers are investing in AI technology to improve the efficiency of their agents, leading to layoffs or reduced hiring of existing agents, and a shift towards hiring data analysts, programmers, and data security analysts. However, AI cannot yet replace agents in addressing customer satisfaction issues, especially for rapidly growing companies. High-quality agents remain in demand, and companies still need their skills to handle customer satisfaction problems. Therefore, replacing agents with AI is not always the best solution.
As AI inevitably plays a role in contact center operations, companies can use it to enhance the work of their agents in several ways, such as:
AI Personal Marketing : Helps suggest solutions and present/sell products or services to customers on a personalized basis.
With AI as a work assistant, agents can dedicate more time to honing the necessary skills to handle customer satisfaction issues.
Agents act as intermediaries between clients and the company. The ability to communicate clearly, build rapport, and engage in meaningful conversation with clients is crucial and must be mastered by agents. Achieving mutual understanding through communication is not easy, due to differing backgrounds and cultures. Lack of empathy and insufficient information can lead to repetitive conversations, frustration, dissatisfaction, and negative customer experiences. Therefore, agents should develop the following skills to enhance their communication clarity.
Customer listening skills : Listening is an art; it’s about paying attention to what you hear. It helps agents understand what customers are saying and what they want to communicate. Agents should listen first and set aside personal opinions before speaking.
Verbal skills : Using appropriate tone of voice and words, and correct pronunciation when communicating with customers from other regions.
Skills in building trust and connections : Creating rapport with customers during interactions and conversations, such as addressing them by name or smiling while talking, can create a positive impression and build customer trust.
Empathy skills : Empathy for others arises when one feels they are in the same situation. Looking from the customer’s perspective helps agents understand their feelings and communicate with empathy.
Skills in soliciting feedback : Criticism and suggestions are valuable, helping to close conversations and summarize results effectively, as well as increasing customer satisfaction. Expressing gratitude for feedback makes customers more likely to be satisfied. The skill of soliciting feedback is core to listening to the Voice of Customer (VoC), as management often wants to know how customers feel about products and services. If Agents can practice this skill and present it to management, it will benefit the company.
Read more about implementing Voice of Call (VoC) in a Contact Center here.
How to Improve Contact Center Performance with Voice of Customer (VOC) – Part 1
3 Ways to Help Brands Improve Contact Center Performance with Voice of Customer (VOC) – Part 2
It is clear that AI is inevitably impacting contact centers and their employees. AI is being used to enhance efficiency and improve service, creating better customer experiences. However, AI cannot replace human relationships. Therefore, agents must urgently develop their communication skills to be clear, concise, easy to understand, friendly, warm, understanding, and empathetic towards customers, as this is something AI cannot yet replicate.
Thank you for the helpful information.

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